ZZZENG's Stars
facebookresearch/segment-anything
The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.
ultralytics/ultralytics
NEW - YOLOv8 🚀 in PyTorch > ONNX > OpenVINO > CoreML > TFLite
NVlabs/instant-ngp
Instant neural graphics primitives: lightning fast NeRF and more
microsoft/Swin-Transformer
This is an official implementation for "Swin Transformer: Hierarchical Vision Transformer using Shifted Windows".
kornia/kornia
Geometric Computer Vision Library for Spatial AI
windingwind/zotero-pdf-translate
Translate PDF, EPub, webpage, metadata, annotations, notes to the target language. Support 20+ translate services.
CVHub520/X-AnyLabeling
Effortless data labeling with AI support from Segment Anything and other awesome models.
mcordts/cityscapesScripts
README and scripts for the Cityscapes Dataset
GaParmar/img2img-turbo
One-step image-to-image with Stable Diffusion turbo: sketch2image, day2night, and more
SHI-Labs/OneFormer
OneFormer: One Transformer to Rule Universal Image Segmentation, arxiv 2022 / CVPR 2023
vkohaupt/vokoscreenNG
vokoscreenNG is a powerful screencast creator in many languages to record the screen, an area or a window (Linux only). Recording of audio from multiple sources is supported. With the built-in camera support, you can make your video more personal. Other tools such as systray, magnifying glass, countdown, timer, Showclick and Halo support will help
SysCV/sam-pt
SAM-PT: Extending SAM to zero-shot video segmentation with point-based tracking.
PRBonn/semantic-kitti-api
SemanticKITTI API for visualizing dataset, processing data, and evaluating results.
NVlabs/GroupViT
Official PyTorch implementation of GroupViT: Semantic Segmentation Emerges from Text Supervision, CVPR 2022.
jbehley/point_labeler
My awesome point cloud labeling tool
url-kaist/patchwork-plusplus
Patchwork++: Fast and robust ground segmentation method for 3D LiDAR scans. @ IROS'22
datvuthanh/HybridNets
HybridNets: End-to-End Perception Network
TRI-ML/DDAD
Dense Depth for Autonomous Driving (DDAD) dataset.
ZiqinZhou66/ZegCLIP
Official implement of CVPR2023 ZegCLIP: Towards Adapting CLIP for Zero-shot Semantic Segmentation
vinvino02/GLPDepth
GLPDepth PyTorch Implementation: Global-Local Path Networks for Monocular Depth Estimation with Vertical CutDepth
williamhyin/yolov5s_bdd100k
Train a yolo v5 object detection model on Bdd100k dataset
jbehley/voxelizer
Voxelize point clouds.
dingjiansw101/ZegFormer
Official code for "Decoupling Zero-Shot Semantic Segmentation"
zhechen/PLARD
Progressive LiDAR Adaptation for Road Detection
cnexah/VA-DepthNet
VA-DepthNet: A Variational Approach to Single Image Depth Prediction
SCPNet/Codes-for-SCPNet
SCPNet: Semantic Scene Completion on Point Cloud (CVPR 2023, Highlight)
astra-vision/LMSCNet
LMSCNet: Lightweight Multiscale 3D Semantic Completion. Roldão, L., de Charette, R., & Verroust-Blondet, A. International Conference on 3D Vision (3DV). 2020
JHLee0513/semantic_bevnet
Code repository for Semantic Terrain Classification for Off-Road Autonomous Driving (https://openreview.net/forum?id=AL4FPs84YdQ) (CoRL 2021)
MPC-Berkeley/dlp-dataset
Dragon Lake Parking Dataset by MPC Lab.
ozendelait/wilddash_scripts
Support scripts for datasets and benchmark hosted on wilddash.cc (WildDash and RailSem)